Description
Are you interested in being part of a fast-paced technology company that helps the world's most innovative software, AI, and technology companies build and scale on AWS? You will be building scalable systems that use Machine Learning (ML) to solve complex customer challenges, drive AI adoption, and accelerate digital transformation for some of the most technically sophisticated customers in the industry.
Software, AI, and Technology (SWAT) is the organization that partners with digital-native companies, SaaS providers, AI startups, and established technology firms to help them innovate faster on AWS. We work with customers who are building the next generation of intelligent applications, platforms, and services. We support them in architecting, migrating, and optimizing their workloads to unlock the full potential of the cloud. We face complex technical challenges at massive scale, which we solve through deep technical expertise, science, and innovation. We are a high-impact organization that drives AWS adoption across the technology sector and helps shape how the broader industry builds with AI and cloud.
We're the Core ML Services Engineering team supporting the SWAT organization. We create next-gen ML services that are ahead of the industry standard and cloud standard solutions, and that help accelerate AI and ML developments with end-to-end highly automated and highly intelligent ML model building and ML feature engineering solutions. We own and build consolidated ML orchestration environments that will drive speed, quality, and efficiency of ML efforts across SWAT and Amazon. We not only leverage industry-leading AI technology such as AWS AI and open source AI frameworks, we innovate our own solutions that are ahead of the curve to help our technology customers push the boundaries of what's possible.
Key job responsibilities
Develop large scale, high performance, high reliability ML systems for data, feature, model and rule management.
Work closely with ML scientists and solutions architects, understand the requirements, design and deliver innovative next-gen solutions to help technology customers accelerate their AI journey.
Work as the owner of the system and operate excellently to provide stable and robust services to customers and other teams.
Innovate based on new ideas and build comprehensive system/features across the whole ML pipeline.
Software, AI, and Technology (SWAT) is the organization that partners with digital-native companies, SaaS providers, AI startups, and established technology firms to help them innovate faster on AWS. We work with customers who are building the next generation of intelligent applications, platforms, and services. We support them in architecting, migrating, and optimizing their workloads to unlock the full potential of the cloud. We face complex technical challenges at massive scale, which we solve through deep technical expertise, science, and innovation. We are a high-impact organization that drives AWS adoption across the technology sector and helps shape how the broader industry builds with AI and cloud.
We're the Core ML Services Engineering team supporting the SWAT organization. We create next-gen ML services that are ahead of the industry standard and cloud standard solutions, and that help accelerate AI and ML developments with end-to-end highly automated and highly intelligent ML model building and ML feature engineering solutions. We own and build consolidated ML orchestration environments that will drive speed, quality, and efficiency of ML efforts across SWAT and Amazon. We not only leverage industry-leading AI technology such as AWS AI and open source AI frameworks, we innovate our own solutions that are ahead of the curve to help our technology customers push the boundaries of what's possible.
Key job responsibilities
Develop large scale, high performance, high reliability ML systems for data, feature, model and rule management.
Work closely with ML scientists and solutions architects, understand the requirements, design and deliver innovative next-gen solutions to help technology customers accelerate their AI journey.
Work as the owner of the system and operate excellently to provide stable and robust services to customers and other teams.
Innovate based on new ideas and build comprehensive system/features across the whole ML pipeline.
Basic Qualifications
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 1+ years of software development engineer or related occupational experience
- 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
- 1+ years of Object Oriented Design experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
- Experience programming with at least one software programming language
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 1+ years of software development engineer or related occupational experience
- 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
- 1+ years of Object Oriented Design experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
- Experience programming with at least one software programming language
Preferred Qualifications
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
USA, CA, San Francisco - 165,200.00 - 223,600.00 USD annually
- Bachelor's degree in computer science or equivalent
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, CA, San Francisco - 165,200.00 - 223,600.00 USD annually
